Add to ORKGIn this chapter, we provide an overview of the motivation for, and structure of, advanced discrete choice models derived from random-utility maximization. The discussion is intended to familiarize readers with structural alternatives to the multinomial logit. Before proceeding to review advanced discrete choice models, we first summarize the assumptions of the multinomial logit (MNL) formulation. This is useful sinc
In Alberini et al. (this volume), an overview of the workhorse model (the Multinomial Logit, or MNL)...
The implications of stochastic utility maximization in a model of choice of payment are examined. Th...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...
This paper discusses important developments in discrete choice modeling for transportation applicati...
This paper discusses important developments in discrete choice modeling for transportation applicati...
Discrete choice analysis is a cornerstone of modern day transportation economics. It facilitates the...
Discrete choice analysis is a cornerstone of modern day transportation economics. It facilitates the...
The multinomial logit model has been used widely as a fundamental tool for the analysis of discrete ...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...
The multinomial logit model has been used widely as a fundamental tool for the analysis of discrete ...
The multinomial logit model has been used widely as a fundamental tool for the analysis of discrete ...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...
The multinomial logit model has been used widely as a fundamental tool for the analysis of discrete ...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...
The multinomial logit model in discrete choice analysis is widely used in transport research. It has...
In Alberini et al. (this volume), an overview of the workhorse model (the Multinomial Logit, or MNL)...
The implications of stochastic utility maximization in a model of choice of payment are examined. Th...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...
This paper discusses important developments in discrete choice modeling for transportation applicati...
This paper discusses important developments in discrete choice modeling for transportation applicati...
Discrete choice analysis is a cornerstone of modern day transportation economics. It facilitates the...
Discrete choice analysis is a cornerstone of modern day transportation economics. It facilitates the...
The multinomial logit model has been used widely as a fundamental tool for the analysis of discrete ...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...
The multinomial logit model has been used widely as a fundamental tool for the analysis of discrete ...
The multinomial logit model has been used widely as a fundamental tool for the analysis of discrete ...
A discrete choice model is presented that explicitly recognizes differences in the error structure a...
The multinomial logit model has been used widely as a fundamental tool for the analysis of discrete ...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...
The multinomial logit model in discrete choice analysis is widely used in transport research. It has...
In Alberini et al. (this volume), an overview of the workhorse model (the Multinomial Logit, or MNL)...
The implications of stochastic utility maximization in a model of choice of payment are examined. Th...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...